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AI Explained
Inference, Guardrails, and Observability for LLMs with Jonathan Cohen
Nov 9, 2024
Jonathan Cohen, VP of Applied Research at NVIDIA and leader of the NeMo platform, dives into the vital role of AI in enterprise applications. He discusses how NeMo Guardrails enhance AI security and observability, crucial for responsible deployments. Jonathan shares insights on the evolving landscape of AI agents, balancing automation with human oversight. Real-world examples illustrate the power of AI, like successful implementations in telecommunications, showcasing how organizations can leverage advanced AI while navigating security challenges.
53:10
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Quick takeaways
- NVIDIA's NeMo platform streamlines the lifecycle management of AI models, improving efficiency and ensuring continuous learning in various applications.
- The implementation of NVIDIA's guardrails enhances AI system security by enforcing compliance with regulatory standards and preventing inappropriate outputs.
Deep dives
NVIDIA's AI Strategy and NEMO Overview
NVIDIA positions itself as an accelerated computing platform company that integrates both hardware and software solutions. The NEMO platform is designed to enhance the creation and management of modern AI systems, including generative AI and large language models. This platform supports various stages such as training, customizing pre-existing models, deploying them, and managing their lifecycle, ensuring continuous learning and improvement. By utilizing both open-source Python components and a microservices platform, NEMO aims to provide optimal performance and efficiency in AI applications.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode